Protocol to quantify bacterial burden in time-kill assays using colony-forming units and most probable number readouts for Mycobacterium tuberculosis
Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then d...
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Published in | STAR protocols Vol. 6; no. 1; p. 103643 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
21.03.2025
Elsevier |
Subjects | |
Online Access | Get full text |
ISSN | 2666-1667 2666-1667 |
DOI | 10.1016/j.xpro.2025.103643 |
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Summary: | Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then detail procedures for quantification and analysis. TKAs provide longitudinal data reflecting the dynamics of the antibiotic effect over time against a planktonic culture and quantify the concentration-effect relationship.
For complete details on the use and execution of this protocol, please refer to Van Wijk et al.1
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•The protocol describes inoculum preparation and conditions for time-kill assays•MPN in a 96-well plate and 2.5 μL CFU plating techniques used as simultaneous readouts•Detailed procedures for quantifying and analyzing MPN and CFU data
Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
Here, we present a protocol to perform a time-kill assay (TKA) to quantify bacterial burden at multiple time points using colony-forming units and most probable number readouts simultaneously. We describe steps for preparing inoculum, experimental conditions, and sampling bacterial counts. We then detail procedures for quantification and analysis. TKAs provide longitudinal data reflecting the dynamics of the antibiotic effect over time against a planktonic culture and quantify the concentration-effect relationship. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Technical contact These authors contributed equally Lead contact |
ISSN: | 2666-1667 2666-1667 |
DOI: | 10.1016/j.xpro.2025.103643 |